F.A. Mussa-Ivaldi

718 citations
15 papers · 570 · h-index 10

Impact in

Papers in

F.A. Mussa-Ivaldi

15 papers receiving 539 citations

Peers

F.A. Mussa-Ivaldi
Comparison fields: 5 of 52
  • Cognitive Neuroscience 435
  • Physical Therapy, Sports Therapy and Rehabilitation 68
  • Rehabilitation 46
  • Biomedical Engineering 320
  • Neurology 49
Replace Mauro Carrozzo with:
Mauro Carrozzo Italy
Jamie R. Lukos United States
Christopher D. Mah United States
Flavia Lavinia Gandolfo Italy
S.F. Giszter United States
Nicholas Cothros Canada
Masazumi Katayama Japan
Marco Favilla Italy
Alessandro Portone Italy
J. J. van der Gon Denier Netherlands
F.A. Mussa-Ivaldi relative to Mauro Carrozzo Italy Mauro Carrozzo's profile →
Citations per field
00.5×1.5×2.1×
Mauro Carrozzo · 1×
Citations per year

Countries citing papers authored by F.A. Mussa-Ivaldi

Since Specialization
Citations

This map shows the geographic impact of F.A. Mussa-Ivaldi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by F.A. Mussa-Ivaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.A. Mussa-Ivaldi more than expected).

Fields of papers citing papers by F.A. Mussa-Ivaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.A. Mussa-Ivaldi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by F.A. Mussa-Ivaldi. The network helps show where F.A. Mussa-Ivaldi may publish in the future.

Co-authors

The 15 scholars most cited alongside F.A. Mussa-Ivaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F.A. Mussa-Ivaldi Line = papers co-authored together F.A. Mussa-Ivaldi links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1990233
2 2002115
3 200243
4 201140
5 200239
6 199426
7 201224
8
Muscle properties and the control of arm movements
199013
9 199713
10 199111
11 19867
12 20022
13 20032
14 20091
15 20021

About F.A. Mussa-Ivaldi

F.A. Mussa-Ivaldi is a scholar working on Cognitive Neuroscience, Control and Systems Engineering, Biomedical Engineering, Social Psychology and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 570 indexed citations. Recurring topics across this work include Motor Control and Adaptation (9 papers), Robot Manipulation and Learning (8 papers), Muscle activation and electromyography studies (7 papers), Tactile and Sensory Interactions (3 papers), EEG and Brain-Computer Interfaces (2 papers), Robotic Path Planning Algorithms (2 papers), Action Observation and Synchronization (2 papers) and Spinal Cord Injury Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (435 citations), Physical Therapy, Sports Therapy and Rehabilitation (68 citations), Rehabilitation (46 citations), Biomedical Engineering (320 citations) and Neurology (49 citations). F.A. Mussa-Ivaldi has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Tamar Flash, Amir Karniel, James L. Patton, Emilio Bizzi, Simon F. Giszter, Zachary C. Danziger, Neville Hogan, Assaf Pressman, Pietro Morasso and Maura Casadio. Their work appears in journals such as Experimental Brain Research, Journal of Neuroscience, Advances in psychology, World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany and Cambridge University Press eBooks.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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